Face Detection And Recognition Through Live Stream

Abstract

This chapter delves into the development of a machine-based project aimed at detecting and identifying human faces, a process known as face recognition. This process not only discerns human faces but also determines whether the face is familiar or unfamiliar, with advanced iterations even providing the identified individual's name. OpenCV, a tool within the realm of image processing, is utilized to ascertain the detected face. The implementation of this method occurs in two phases: training and testing. The project's design primarily incorporates live-stream face detection, feature extraction, and recognition of detected faces from a stored database. This technology has potential applications in criminal identification and security surveillance in police investigations. The machine-based nature of the project significantly reduces the likelihood of errors compared to manual recognition. The chapter concludes by comparing the detected and processed faces with a database to recognize familiar faces, thereby verifying the individual's real identity.